eTRANSAFE: data science to empower translational safety assessment

Autor: Sanz, Ferran, Pognan, François, Steger-Hartmann, Thomas, Díaz, Carlos, Asakura, Shoji, Amberg, Alexander, Bécourt-Lhote, Nathalie, Blomberg, Niklas, Bosc, Nicolas, Briggs, Katharine, Bringezu, Frank, Brulle-Wohlhueter, Claire, Brunak, Søren, Bueters, Ruud, Callegaro, Giulia, Capella-Gutierrez, Salvador, Centeno, Emilio, Corvi, Javier, Cronin, Mark T. D., Drew, Philip, Duchateau-Nguyen, Guillemette, Ecker, Gerhard F., Escher, Sylvia, Felix, Eloy, Ferreiro, Miguel, Frericks, Markus, Furlong, Laura I., Geiger, Robert, George, Catherine, Grandits, Melanie, Ivanov-Draganov, Dragomir, Kilgour-Christie, Jean, Kiziloren, Tevfik, Kors, Jan A., Koyama, Naoki, Kreuchwig, Annika, Leach, Andrew R., Mayer, Miguel-Angel, Monecke, Peter, Muster, Wolfgang, Nakazawa, Chihiro Miyamoto, Nicholson, Gavin, Parry, Rowan, Pastor, Manuel, Piñero, Janet, Oberhauser, Nils, Ramírez-Anguita, Juan Manuel, Rodrigo, Adrián, Smajic, Aljosa, Schaefer, Markus, Schieferdecker, Sebastian, Soininen, Inari, Terricabras, Emma, Trairatphisan, Panuwat, Turner, Sean C., Valencia, Alfonso, van de Water, Bob, van der Lei, Johan L., van Mulligen, Erik M., Vock, Esther, Wilkinson, David
Zdroj: Nature Reviews Drug Discovery; August 2023, Vol. 22 Issue: 8 p605-606, 2p
Abstrakt: Thirteen pharmaceutical companies have shared and integrated preclinical and clinical data for creating computational resources that enhance translational drug safety assessment.
Databáze: Supplemental Index